Higher Education Students' Attitudes Towards Artificial Intelligence: A Comparison of SPSS And Machine Learning

Abstract

The rise of AI (Artificial Intelligence) in education is attracting increasing attention. The integration of AI-based tools and methods in higher education can not only improve the quality of education, but also open new perspectives for students. In addition to the growing interest in AI, an important question is the level of awareness and confidence of students in this technology. While there are many studies on the role of AI in education (Luckin et al., 2016; Holmes et al., 2019), few studies have examined students' knowledge and confidence in AI and the frequency of its use. A questionnaire survey is used to collect the data. The questionnaire survey is conducted through an online platform, targeting different demographic groups in higher education. In addition to traditional statistical methods, AI-based machine learning algorithms are used to analyze the data. Using statistical methods, we explore quantitative relationships between students' AI knowledge and confidence. At the same time, we explore the potential of machine learning in data analysis, because while we initially analyzed their attitudes towards AI, we now explore the opportunities and challenges that machine learning offers for interpreting research findings.